Chartverse Scaling Chart Reasoning Via Reliable Pr

---
name: chartverse-scaling-chart-reasoning-via-reliable-pr
title: "ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch"
version: 0.0.2
engine: skillxiv-v0.0.2-claude-opus-4.6
license: MIT
url: "https://arxiv.org/abs/2601.13606"
keywords: ["model", "training", "reasoning"]
description: "Implement techniques from ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch. Chart reasoning is a critical capability for Vision Language Models (VLMs)"
---

## Overview

This skill implements concepts from the research paper [[2601.13606](https://arxiv.org/abs/2601.13606)].

## When to Use

- When you need to implement techniques described in this paper
- When working on problems that this research addresses
- When you want to understand the core concepts and methodology

## When NOT to Use

- This skill provides research-level insights; production implementations may require additional engineering
- Some concepts may require significant tuning for specific use cases
- Always evaluate applicability to your specific problem domain

## Key Concepts

The paper addresses: Chart reasoning is a critical capability for Vision Language Models (VLMs). However, the development of open-source models is severely hindered by the lack of high-quality training data. Existing datasets suffer from a dual challenge: synthetic chart...

For detailed methodology, refer to the [full paper](https://arxiv.org/html/2601.13606).